CN117214617A - Smart power grid fault real-time monitoring and positioning system and method - Google Patents
Smart power grid fault real-time monitoring and positioning system and method Download PDFInfo
- Publication number
- CN117214617A CN117214617A CN202311286356.1A CN202311286356A CN117214617A CN 117214617 A CN117214617 A CN 117214617A CN 202311286356 A CN202311286356 A CN 202311286356A CN 117214617 A CN117214617 A CN 117214617A
- Authority
- CN
- China
- Prior art keywords
- tracking
- monitoring
- signal
- image
- positioning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 92
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000011156 evaluation Methods 0.000 claims abstract description 41
- 238000004458 analytical method Methods 0.000 claims abstract description 29
- 238000012795 verification Methods 0.000 claims description 26
- 238000010191 image analysis Methods 0.000 claims description 25
- 238000013508 migration Methods 0.000 claims description 21
- 230000005012 migration Effects 0.000 claims description 21
- 238000012545 processing Methods 0.000 claims description 10
- 238000007781 pre-processing Methods 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 abstract description 12
- 230000000694 effects Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000005770 birds nest Nutrition 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 235000005765 wild carrot Nutrition 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
- H02J13/0004—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers involved in a protection system
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Abstract
The invention discloses a real-time monitoring and positioning system and a method for intelligent power grid faults, and belongs to the technical field of power grid fault monitoring and positioning; by setting a conventional monitoring scheme and an emergency monitoring scheme, the power grid fault can be adaptively and dynamically monitored in real time, the image pickup image is preprocessed and extracted, a plurality of image features and corresponding sample features are matched and analyzed, the differences between the existing features and the corresponding sample features, and the positions and the areas without the features are analyzed and evaluated, so that the comprehensive analysis and evaluation and real-time positioning of the power grid fault are realized; the method and the device are used for solving the technical problems that the real-time monitoring and positioning of the power grid faults cannot be realized in the conventional scheme, and the overall effect of the real-time monitoring and positioning of the power grid faults is poor due to the fact that abnormal conditions possibly exist are tracked and checked.
Description
Technical Field
The invention relates to the technical field of power grid fault monitoring and positioning, in particular to a system and a method for monitoring and positioning a smart power grid fault in real time.
Background
The intelligent power grid is a novel power grid formed by integrating information technology, communication technology, computer technology and original power transmission and distribution infrastructures, and has the advantages of improving energy efficiency, reducing influence on environment, improving safety and reliability of power supply, reducing electric energy loss of the power transmission grid and the like, however, the problem of monitoring power grid faults of the intelligent power grid has always plagued people.
When the existing intelligent power grid fault real-time monitoring and positioning scheme is implemented, besides data acquisition and analysis through various sensors, the on-site condition is monitored in real time through the inspection 4G camera, damage to a high-voltage power transmission line caused by external damage is avoided, but the intelligent power grid fault real-time monitoring and positioning scheme cannot be adaptively implemented according to various running states, meanwhile, tracking and checking cannot be further carried out on abnormal conditions, only early warning prompt manual checking can be carried out, or a monitoring video needs to be browsed for a long time manually to judge whether the abnormality exists, so that the overall effect of power grid fault real-time monitoring and positioning is poor.
Disclosure of Invention
The invention aims to provide a real-time monitoring and positioning system and method for intelligent power grid faults, which are used for solving the technical problems that the real-time monitoring and positioning of the power grid faults cannot be realized in the prior art, and the overall effect of the real-time monitoring and positioning of the power grid faults is poor due to the fact that abnormal conditions possibly exist are tracked and checked.
The aim of the invention can be achieved by the following technical scheme:
a real-time monitoring and positioning system for intelligent power grid faults comprises a monitoring front end, a data transmission module and a data rear end;
the monitoring front end comprises a positioning numbering unit, a feedback monitoring unit and an image monitoring unit;
the positioning numbering unit is used for positioning and marking the positions of the distribution network equipment in different areas and numbering according to a preset numbering sequence to obtain an equipment numbering set;
the feedback monitoring unit is used for monitoring fault feedback received by the feedback platform and generating a verification instruction;
the image monitoring unit is used for carrying out overlooking shooting on overhead devices in different areas by utilizing the equipment number set according to the verification instruction and a preset monitoring interval period to obtain an image monitoring set;
the data rear end comprises an image processing unit and a prompt regulation and control unit;
the image processing unit is used for preprocessing and identifying the received image monitoring set to obtain a tracking evaluation set and an image analysis set;
the prompt regulation and control unit is used for positioning and prompting the running state of the distribution network equipment in each area according to the tracking evaluation set and the image analysis set.
Further, the priority of the shooting verification is higher than the priority of the shooting verification in the preset monitoring interval period according to the verification instruction.
Further, overhead devices in different areas are subjected to overlook shooting by using the equipment number set, and the overhead devices comprise:
the method comprises the steps of obtaining areas with the numbers in a set of equipment numbers, extracting images in video shot by an overhead device in the areas according to a preset shooting direction, a verification instruction and a shooting interval period, and arranging and combining the images according to a time sequence and the corresponding area numbers to obtain an image monitoring set.
Further, preprocessing and identifying the received image monitoring set includes:
acquiring images of the overhead devices in each area in the data monitoring set during operation;
performing binarization processing on the image;
acquiring target features and corresponding target pixel points in an image;
analyzing the target pixel point, and deleting the target pixel point if the target pixel point is black and all 8 adjacent pixel points are black;
traversing all target features in sequence to remove each pixel point of the boundary to obtain a processed image;
and establishing a coordinate system for the processed image, acquiring coordinate points of the target features, and sequentially analyzing and evaluating the coordinate points of the target features to obtain an image analysis set.
Further, establishing a coordinate system for the processed image and acquiring coordinate points of the target feature, including:
acquiring a midpoint of a processed image, setting the midpoint as a coordinate origin, and establishing a two-dimensional coordinate system according to a preset coordinate axis direction and a coordinate distance;
and acquiring the coordinates of the uppermost ends of the plurality of target features on the processed image according to the two-dimensional coordinate system and setting the coordinates as target coordinates.
Further, analyzing and evaluating the coordinate points of the target features, including:
if the target coordinates of the target features do not have corresponding sample coordinates, generating a first analysis signal, and tracking the interference condition of the distribution network equipment in the area according to the first analysis signal to obtain a tracking evaluation set;
if the corresponding sample coordinates exist in the target coordinates of the target features, generating a second analysis signal, acquiring distances among the sample coordinates corresponding to the plurality of target coordinates according to the second analysis signal, setting the distances as migration degrees, and analyzing the migration degrees;
if the mobility is smaller than the mobility threshold, judging that the running state of the corresponding target feature is normal and generating a first mobility signal;
if the mobility is not smaller than the mobility threshold, judging that the running state of the corresponding target feature is abnormal, generating a second mobility signal, and marking the corresponding region as a target region according to the second mobility signal;
the first migration signal, the second migration signal and the target region constitute an image analysis set.
Further, tracking the interference condition of the distribution network equipment in the area according to the first analysis signal, including:
respectively setting the corresponding target characteristics and target coordinates as tracking characteristics and tracking coordinates according to the first analysis signals;
matching the tracking coordinates with a preset warning coordinate set, and if the tracking coordinates belong to the warning coordinate set, judging that the interference capacity of the corresponding tracking features is strong and generating a first interference signal;
if the tracking coordinates do not belong to the warning coordinate set, judging that the interference capacity of the corresponding tracking features is weak and generating a second interference signal; the first interference signal and the second interference signal form a preliminary evaluation set of tracking features;
and verifying according to the influence condition of the preliminary evaluation set on the tracking characteristics to obtain a tracking evaluation set.
Further, verifying the influence of the preliminary evaluation set on the tracking feature comprises:
acquiring a characteristic area of a tracking characteristic according to a first interference signal in the preliminary evaluation set;
matching the characteristic area with a preset characteristic area threshold value;
if the feature area is smaller than the feature area threshold, judging that the influence of the corresponding tracking feature is small and generating a first influence signal;
if the characteristic area is not smaller than the characteristic area threshold value and not larger than m of the characteristic area threshold value, wherein m is a real number larger than one hundred, judging that the influence of the corresponding tracking characteristic is moderate, generating a second influence signal, and setting the corresponding region as a first tracking region according to the second influence signal;
if the characteristic area is larger than m% of the characteristic area threshold value, judging that the influence of the corresponding tracking characteristic is large, generating a third influence signal, and setting the corresponding area as a second tracking area according to the third influence signal;
the first influence signal, the second influence signal and the first tracking area, the third influence signal and the second tracking area constitute a tracking evaluation set.
Further, positioning and prompting the operation state of the distribution network equipment of each area according to the tracking evaluation set and the image analysis set, including:
if the tracking evaluation set contains the second influence signal and the third influence signal, positioning the first tracking area and the second tracking area and alarming and prompting the positioning result;
if the image analysis set contains the second migration signal, the target area is positioned, and the positioning result is warned and prompted.
In order to solve the problem, the invention also provides a method for monitoring and positioning the faults of the intelligent power grid in real time, which comprises the following steps:
positioning and marking the positions of the distribution network equipment in different areas, and numbering according to a preset numbering sequence to obtain an equipment numbering set;
monitoring fault feedback received by a feedback platform and generating a verification instruction; according to the verification instruction and a preset monitoring interval period, overhead devices in different areas are subjected to overlook shooting by using the equipment number set, and an image monitoring set is obtained;
preprocessing and identifying a received image monitoring set to obtain a tracking evaluation set and an image analysis set; wherein the tracking evaluation set comprises a first influence signal, a second influence signal and a first tracking area, a third influence signal and a second tracking area; the image analysis set comprises a first migration signal, a second migration signal and a target area;
and positioning and prompting the running states of the distribution network equipment in each area according to the tracking evaluation set and the image analysis set.
Compared with the prior art, the invention has the beneficial effects that:
the invention can adaptively and dynamically monitor the power grid faults in real time by setting a conventional monitoring scheme and an emergency monitoring scheme, and can automatically track and check abnormal conditions in the monitoring process by preprocessing and extracting the image and matching a plurality of image features with corresponding sample features, analyze and evaluate the differences between the existing features and the corresponding sample features and the positions and areas without the features, so as to realize comprehensive analysis and evaluation and real-time positioning of the power grid faults, and is different from the acquisition and analysis of the voltage and current operation data of the power grid and the manual browsing of the monitoring video in the existing scheme.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a block diagram of a real-time monitoring and positioning system for smart grid faults.
Fig. 2 is a schematic flow chart of a method for monitoring and positioning faults of a smart grid in real time.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the invention relates to a real-time monitoring and positioning system for a smart grid fault, which comprises a monitoring front end, a data transmission module and a data rear end; the monitoring front end and the data rear end are electrically connected through a data transmission module;
the application scene in the embodiment of the invention can be real-time monitoring, fault analysis and positioning of the overhead power grid, is different from the collection and analysis of the voltage and current operation data of the power grid and the manual browsing of the monitoring video in the existing scheme, can carry out intermittent shooting and analysis on the operation condition of the power grid from the outside, automatically monitor and judge whether the operation condition of the overhead power grid is normal from the outside, can be matched with the feedback self-adaptive adjustment monitoring interval time of the existing feedback platform, can improve the efficiency of real-time monitoring and positioning of the power grid fault, can track and verify the abnormal condition in the monitoring process, and can effectively improve the accuracy of real-time monitoring and positioning of the power grid fault.
The monitoring front end comprises a positioning numbering unit, a feedback monitoring unit and an image monitoring unit;
the positioning numbering unit is used for positioning and marking the positions of the distribution network equipment in different areas and numbering according to a preset numbering sequence to obtain an equipment numbering set;
in the embodiment of the invention, the purpose of marking and numbering different areas is to find the position of the area where the abnormal distribution network equipment is located timely and efficiently; the numbering sequence may be implemented based on existing numbering schemes.
The feedback monitoring unit is used for monitoring fault feedback received by the feedback platform and generating a verification instruction;
the method comprises the steps that the priority of shooting verification is higher than the priority of shooting verification in a preset monitoring interval period according to verification instructions;
it should be noted that, the feedback platform may be an existing fault telephone feedback platform, and when personnel feedback that electricity consumption is abnormal through telephone, a verification instruction is generated, and images in all areas are immediately monitored and analyzed according to the verification instruction, so as to realize self-adaptive adjustment of monitoring of each area;
when no verification instruction exists, conventional intermittent evaluation analysis is performed, the captured video is performed in real time, and the purpose of performing intermittent processing and identification on images in the video is to reduce excessive use of a large amount of image data resources and realize reasonable use of hardware resources and data resources.
The image monitoring unit is used for carrying out overlooking shooting on overhead devices in different areas by utilizing the equipment number set according to the verification instruction and a preset monitoring interval period which can be 60 seconds to obtain an image monitoring set;
wherein, utilize equipment number set to overlook the overhead device of different regions and make a video recording, include:
acquiring areas of equipment numbers in a centralized manner, extracting images in an aerial device shooting video in the areas according to a preset shooting direction, a verification instruction and a shooting interval period, and arranging and combining according to a time sequence and corresponding area numbers to obtain an image monitoring set;
in the embodiment of the invention, the realization of overlooking shooting can be realized by the shooting device arranged at one side of the top of the overhead device or above one side of the overhead device and matched with the lightning arrester for shooting and fault analysis, which is different from the existing scheme that whether the existing real-time video is abnormal or not and whether the existing real-time video is abnormal or not is detected by manual observation and manual on-site inspection;
according to the embodiment of the invention, the intelligent monitoring and positioning of the power grid faults are realized by extracting the images in the video and automatically analyzing and evaluating whether the abnormality exists or not and automatically alarming and prompting, so that the workload of manual participation can be effectively reduced; among these, anomalies include cable connection anomalies such as cable deflection or disconnection in the horizontal direction, and the presence of foreign objects on the overhead equipment which can lead to distribution network failures such as nesting in the overhead equipment at the junction and T-bar locations.
The data rear end comprises an image processing unit and a prompt regulation and control unit;
the image processing unit is used for preprocessing and identifying the received image monitoring set to obtain a tracking evaluation set and an image analysis set; comprising the following steps:
acquiring images of the overhead devices in each area in the data monitoring set during operation;
performing binarization processing on the image;
acquiring target features and corresponding target pixel points in an image;
analyzing the target pixel point, and deleting the target pixel point if the target pixel point is black and all 8 adjacent pixel points are black;
traversing all target features in sequence to remove each pixel point of the boundary to obtain a processed image;
establishing a coordinate system for the processed image, acquiring coordinate points of the target features, and sequentially analyzing and evaluating the coordinate points of the target features to obtain an image analysis set;
the method for establishing a coordinate system for the processed image and acquiring the coordinate points of the target features comprises the following steps:
acquiring a midpoint of a processed image, setting the midpoint as a coordinate origin, and establishing a two-dimensional coordinate system according to a preset coordinate axis direction and a coordinate distance;
acquiring the coordinates of the uppermost ends of a plurality of target features on the processed image according to a two-dimensional coordinate system and setting the coordinates as target coordinates;
further, analyzing and evaluating the coordinate points of the target feature includes:
if the target coordinates of the target features do not have corresponding sample coordinates, generating a first analysis signal, and tracking the interference condition of the distribution network equipment in the area according to the first analysis signal to obtain a tracking evaluation set;
if the corresponding sample coordinates exist in the target coordinates of the target features, generating a second analysis signal, acquiring distances among the sample coordinates corresponding to the plurality of target coordinates according to the second analysis signal, setting the distances as migration degrees, and analyzing the migration degrees;
if the mobility is smaller than the mobility threshold, judging that the running state of the corresponding target feature is normal and generating a first mobility signal;
if the mobility is not smaller than the mobility threshold, judging that the running state of the corresponding target feature is abnormal, generating a second mobility signal, and marking the corresponding region as a target region according to the second mobility signal;
the abnormal running state refers to that the position of a cable on the overhead device is deviated, such as cable disconnection grounding, and at the moment, a cable image obtained by shooting is different from a cable image before normal, so as to evaluate whether the running of distribution network equipment is influenced from the aspect of the cable;
the first migration signal, the second migration signal and the target area form an image analysis set;
in the embodiment of the invention, the image in the photographed video is processed and the coordinate system is established, so that the monitored image is consistent with the sample image, and meanwhile, the coordinates of each feature can be accurately and efficiently acquired, so that the accurate analysis and recognition can be performed.
Tracking the interference condition of the distribution network equipment in the area according to the first analysis signal, including:
respectively setting the corresponding target characteristics and target coordinates as tracking characteristics and tracking coordinates according to the first analysis signals;
the purpose of tracking is to verify the interference and influence of the feature to feed back verification instructions to evaluate from an environmental aspect whether the operation of the distribution network device is affected; in addition, the tracking feature refers to a feature which does not appear in the sample image and may affect the operation of the existing distribution network, but whether the operation fault of the existing distribution network is related to the tracking feature needs to be further tracked and checked; the sample image is an image of the same position when the distribution network is just put into operation;
matching the tracking coordinates with a preset warning coordinate set, and if the tracking coordinates belong to the warning coordinate set, judging that the interference capacity of the corresponding tracking features is strong and generating a first interference signal;
if the tracking coordinates do not belong to the warning coordinate set, judging that the interference capacity of the corresponding tracking features is weak and generating a second interference signal; the first interference signal and the second interference signal form a preliminary evaluation set of tracking features; the warning coordinate set can be set based on the existing distribution network fault big data, and the warning coordinate set refers to a set of corresponding coordinates of an area which can influence the distribution network operation to generate short circuit;
checking according to the influence condition of the preliminary evaluation set on the tracking characteristics to obtain a tracking evaluation set, wherein the method comprises the following steps:
acquiring a characteristic area of a tracking characteristic according to a first interference signal in the preliminary evaluation set; the feature area corresponding to the feature in the obtained image is an existing conventional technical means, for example, is implemented based on a python+opencv and a cv2.connectiedcomponents withstats () function or a cv2.connectiurearea () function, and specific steps are not described herein;
matching the characteristic area with a preset characteristic area threshold value;
if the feature area is smaller than the feature area threshold, judging that the influence of the corresponding tracking feature is small and generating a first influence signal;
if the characteristic area is not smaller than the characteristic area threshold value and not larger than m of the characteristic area threshold value, m is a real number larger than one hundred, and the value is 130, judging that the influence of the corresponding tracking characteristic is moderate, generating a second influence signal, and setting the corresponding area as a first tracking area according to the second influence signal;
if the characteristic area is larger than m% of the characteristic area threshold value, judging that the influence of the corresponding tracking characteristic is large, generating a third influence signal, and setting the corresponding area as a second tracking area according to the third influence signal;
the first influence signal, the second influence signal and the first tracking area, the third influence signal and the second tracking area constitute a tracking evaluation set.
It should be noted that, the purpose of acquiring and analyzing the feature area of the tracking feature is to verify the influence caused by the existence of the tracking feature, where the influence caused by different feature areas of the tracking feature is different, such as bird nests with different areas, or windings with different areas; in the embodiment of the invention, the larger the feature area based on the tracking feature is, the larger the corresponding influence is;
the prompting regulation and control unit is used for positioning and prompting the running state of the distribution network equipment in each area according to the tracking evaluation set and the image analysis set, and comprises the following steps:
if the tracking evaluation set contains the second influence signal and the third influence signal, positioning the first tracking area and the second tracking area and alarming and prompting the positioning result;
if the image analysis set contains the second migration signal, the target area is positioned, and the positioning result is warned and prompted.
In the embodiment of the invention, analysis and verification are respectively carried out from the difference between the real-time image and the sample image, the existing characteristics and the non-existing characteristics are included to analyze and evaluate the distribution network faults from the image aspect, meanwhile, the difference between the existing characteristics and the corresponding sample characteristics, the positions and the areas of the non-existing characteristics are analyzed and evaluated, and the comprehensive analysis and evaluation and real-time positioning of the distribution network faults are realized.
Example two
As shown in fig. 2, a method for monitoring and positioning a fault of a smart grid in real time specifically includes the following steps:
positioning and marking the positions of the distribution network equipment in different areas, and numbering according to a preset numbering sequence to obtain an equipment numbering set;
monitoring fault feedback received by a feedback platform and generating a verification instruction; according to the verification instruction and a preset monitoring interval period, overhead devices in different areas are subjected to overlook shooting by using the equipment number set, and an image monitoring set is obtained;
preprocessing and identifying a received image monitoring set to obtain a tracking evaluation set and an image analysis set; wherein the tracking evaluation set comprises a first influence signal, a second influence signal and a first tracking area, a third influence signal and a second tracking area; the image analysis set comprises a first migration signal, a second migration signal and a target area;
and positioning and prompting the running states of the distribution network equipment in each area according to the tracking evaluation set and the image analysis set.
In the several embodiments provided in the present invention, it should be understood that the disclosed method may be implemented in other manners. For example, the above-described embodiments of the invention are merely illustrative, and the modules may be divided into only one type of logic function, and there may be other ways of dividing the modules in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (3)
1. The intelligent power grid fault real-time monitoring and positioning system is characterized by comprising a monitoring front end, a data transmission module and a data rear end;
the monitoring front end comprises a positioning numbering unit, a feedback monitoring unit and an image monitoring unit;
the positioning numbering unit is used for positioning and marking the positions of the distribution network equipment in different areas and numbering according to a preset numbering sequence to obtain an equipment numbering set;
the feedback monitoring unit is used for monitoring fault feedback received by the feedback platform and generating a verification instruction;
the image monitoring unit is used for carrying out overlooking shooting on overhead devices in different areas by utilizing the equipment number set according to the verification instruction and a preset monitoring interval period to obtain an image monitoring set;
the data rear end comprises an image processing unit and a prompt regulation and control unit;
the image processing unit is used for preprocessing and identifying the received image monitoring set to obtain a tracking evaluation set and an image analysis set; comprising the following steps:
acquiring images of the overhead devices in each area in the data monitoring set during operation; performing binarization processing on the image; acquiring target features and corresponding target pixel points in an image;
analyzing the target pixel point, and deleting the target pixel point if the target pixel point is black and all 8 adjacent pixel points are black;
traversing all target features in sequence to remove each pixel point of the boundary to obtain a processed image; establishing a coordinate system for the processed image, acquiring coordinate points of the target features, and sequentially analyzing and evaluating the coordinate points of the target features to obtain an image analysis set, wherein the method comprises the following steps:
acquiring a midpoint of a processed image, setting the midpoint as a coordinate origin, and establishing a two-dimensional coordinate system according to a preset coordinate axis direction and a coordinate distance; acquiring the coordinates of the uppermost ends of a plurality of target features on the processed image according to a two-dimensional coordinate system and setting the coordinates as target coordinates;
the method for analyzing and evaluating the coordinate points of the target features comprises the following steps:
if the target coordinates of the target features do not have the corresponding sample coordinates, generating a first analysis signal, tracking the interference condition of the distribution network equipment in the area according to the first analysis signal, and setting the corresponding target features and the target coordinates as tracking features and tracking coordinates respectively according to the first analysis signal; matching the tracking coordinates with a preset warning coordinate set, and generating a first interference signal if the tracking coordinates belong to the warning coordinate set; if the tracking coordinates do not belong to the warning coordinate set, generating a second interference signal; the first interference signal and the second interference signal form a preliminary evaluation set of tracking features;
checking according to the influence condition of the preliminary evaluation set on the tracking characteristics to obtain a tracking evaluation set, wherein the method comprises the following steps:
acquiring a characteristic area of a tracking characteristic according to a first interference signal in the preliminary evaluation set; matching the characteristic area with a preset characteristic area threshold value to obtain a tracking evaluation set comprising a first influence signal, a second influence signal, a first tracking area, a third influence signal and a second tracking area;
if the corresponding sample coordinates exist in the target coordinates of the target features, generating a second analysis signal, acquiring distances among the sample coordinates corresponding to the plurality of target coordinates according to the second analysis signal, setting the distances as migration degrees, and analyzing the migration degrees; if the mobility is smaller than the mobility threshold and larger than zero, generating a first mobility signal;
if the mobility is not smaller than the mobility threshold, generating a second mobility signal and marking the corresponding region as a target region; the first migration signal, the second migration signal and the target area form an image analysis set;
the prompting regulation and control unit is used for positioning and prompting the running state of the distribution network equipment in each area according to the tracking evaluation set and the image analysis set, and comprises the following steps:
positioning the first tracking area and the second tracking area according to the second influence signal and the third influence signal in the tracking evaluation set, and alarming and prompting the positioning results;
and positioning the target area according to the second migration signal in the image analysis set and carrying out alarm prompt on the positioning result.
2. The smart grid fault real-time monitoring and locating system of claim 1, wherein overhead devices in different areas are top-view imaged using a set of equipment numbers, comprising:
the method comprises the steps of obtaining areas with the numbers in a set of equipment numbers, extracting images in video shot by an overhead device in the areas according to a preset shooting direction, a verification instruction and a shooting interval period, and arranging and combining the images according to a time sequence and the corresponding area numbers to obtain an image monitoring set.
3. A method for monitoring and positioning a fault of a smart grid in real time, which is applied to a system for monitoring and positioning a fault of a smart grid in real time according to any one of claims 1-2, and is characterized by comprising:
positioning and marking the positions of the distribution network equipment in different areas, and numbering according to a preset numbering sequence to obtain an equipment numbering set;
monitoring fault feedback received by a feedback platform and generating a verification instruction; according to the verification instruction and a preset monitoring interval period, overhead devices in different areas are subjected to overlook shooting by using the equipment number set, and an image monitoring set is obtained;
preprocessing and identifying a received image monitoring set to obtain a tracking evaluation set and an image analysis set; wherein the tracking evaluation set comprises a first influence signal, a second influence signal and a first tracking area, a third influence signal and a second tracking area; the image analysis set comprises a first migration signal, a second migration signal and a target area;
and positioning and prompting the running states of the distribution network equipment in each area according to the tracking evaluation set and the image analysis set.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311286356.1A CN117214617A (en) | 2022-07-12 | 2022-07-12 | Smart power grid fault real-time monitoring and positioning system and method |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311286356.1A CN117214617A (en) | 2022-07-12 | 2022-07-12 | Smart power grid fault real-time monitoring and positioning system and method |
| CN202210811884.3A CN115184726B (en) | 2022-07-12 | 2022-07-12 | Smart power grid fault real-time monitoring and positioning system and method |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210811884.3A Division CN115184726B (en) | 2022-07-12 | 2022-07-12 | Smart power grid fault real-time monitoring and positioning system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117214617A true CN117214617A (en) | 2023-12-12 |
Family
ID=83517929
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210811884.3A Active CN115184726B (en) | 2022-07-12 | 2022-07-12 | Smart power grid fault real-time monitoring and positioning system and method |
| CN202311286356.1A Pending CN117214617A (en) | 2022-07-12 | 2022-07-12 | Smart power grid fault real-time monitoring and positioning system and method |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210811884.3A Active CN115184726B (en) | 2022-07-12 | 2022-07-12 | Smart power grid fault real-time monitoring and positioning system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN115184726B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116031847B (en) * | 2023-02-14 | 2023-12-12 | 安徽凯民电力技术有限公司 | Electric power system firewall device based on short-circuit fault rapid detection and positioning |
| CN116131468B (en) * | 2023-04-18 | 2023-07-28 | 国网浙江省电力有限公司宁波供电公司 | Real-time dynamic monitoring method and system for electric power system based on Internet of things |
| CN116979690A (en) * | 2023-07-06 | 2023-10-31 | 江苏卓特电气科技有限公司 | Internet of things-based power grid remote intelligent monitoring system and method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101123722A (en) * | 2007-09-25 | 2008-02-13 | 北京智安邦科技有限公司 | Panorama video intelligent monitoring method and system |
| CN103260016A (en) * | 2013-06-04 | 2013-08-21 | 成都思晗科技有限公司 | Remote and intelligent line-tracking method of electric transmission line |
| CN109085463A (en) * | 2018-08-24 | 2018-12-25 | 广西电网有限责任公司贵港供电局 | A kind of smart power grid fault localization method and device |
| WO2019114191A1 (en) * | 2017-12-14 | 2019-06-20 | 特斯联（北京）科技有限公司 | Internet of things-based building operation device status monitoring and visual analysis system |
| WO2021012757A1 (en) * | 2019-07-23 | 2021-01-28 | 南京莱斯电子设备有限公司 | Real-time target detection and tracking method based on panoramic multichannel 4k video images |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW200913710A (en) * | 2007-07-13 | 2009-03-16 | Chumby Ind Inc | Systems and methods for alarm tone selection, distribution, and playback in a networked audiovisual device |
| US8948596B2 (en) * | 2011-07-01 | 2015-02-03 | CetusView Technologies, LLC | Neighborhood node mapping methods and apparatus for ingress mitigation in cable communication systems |
| KR101644013B1 (en) * | 2016-05-12 | 2016-08-10 | 도우디지텍 주식회사 | Apparatus of detecting trouble state on power station with checking frame ground level 1n power supply for remote monitoring system |
| CN106526432B (en) * | 2017-01-06 | 2019-05-10 | 中国南方电网有限责任公司电网技术研究中心 | A kind of fault location algorithm and device based on BFOA |
| EP3791196A4 (en) * | 2018-05-07 | 2022-01-05 | Inhand Networks Inc. | System for locating fault in power distribution network based on mixed mode wave recording |
| CN110517236A (en) * | 2019-08-19 | 2019-11-29 | 上海华力微电子有限公司 | A kind of method of precise positioning defective locations |
| EP3876373B1 (en) * | 2020-03-02 | 2022-10-05 | Siemens Aktiengesellschaft | Differential protection method, differential protection device and differential protection system |
| CN111578999A (en) * | 2020-05-25 | 2020-08-25 | 东北电力大学 | Integrated information monitoring system of ring main unit |
| CN112255500A (en) * | 2020-10-12 | 2021-01-22 | 山东翰林科技有限公司 | Power distribution network weak characteristic fault identification method based on transfer learning |
| CN112910094B (en) * | 2021-03-05 | 2022-09-27 | 国网河南省电力公司郑州供电公司 | Remote automatic transformer substation inspection system and method based on ubiquitous power Internet of things |
| CN114459372A (en) * | 2022-01-26 | 2022-05-10 | 江苏瑞成建筑科技有限公司 | Online intelligent early warning method for deformation and damage of steel frame steel column |
-
2022
- 2022-07-12 CN CN202210811884.3A patent/CN115184726B/en active Active
- 2022-07-12 CN CN202311286356.1A patent/CN117214617A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101123722A (en) * | 2007-09-25 | 2008-02-13 | 北京智安邦科技有限公司 | Panorama video intelligent monitoring method and system |
| CN103260016A (en) * | 2013-06-04 | 2013-08-21 | 成都思晗科技有限公司 | Remote and intelligent line-tracking method of electric transmission line |
| WO2019114191A1 (en) * | 2017-12-14 | 2019-06-20 | 特斯联（北京）科技有限公司 | Internet of things-based building operation device status monitoring and visual analysis system |
| CN109085463A (en) * | 2018-08-24 | 2018-12-25 | 广西电网有限责任公司贵港供电局 | A kind of smart power grid fault localization method and device |
| WO2021012757A1 (en) * | 2019-07-23 | 2021-01-28 | 南京莱斯电子设备有限公司 | Real-time target detection and tracking method based on panoramic multichannel 4k video images |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115184726A (en) | 2022-10-14 |
| CN115184726B (en) | 2023-11-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115184726B (en) | Smart power grid fault real-time monitoring and positioning system and method | |
| CN108537154B (en) | Power transmission line bird nest identification method based on HOG characteristics and machine learning | |
| CN102759347B (en) | Online in-process quality control device and method for high-speed rail contact networks and composed high-speed rail contact network detection system thereof | |
| CN110807460B (en) | Transformer substation intelligent patrol system based on image recognition and application method thereof | |
| CN110944150A (en) | Special external damage prevention intelligent identification method for electric power | |
| CN115512252B (en) | Unmanned aerial vehicle-based power grid inspection automation method and system | |
| CN107179479A (en) | Transmission pressure broken lot defect inspection method based on visible images | |
| CN113485432A (en) | Photovoltaic power station electroluminescence intelligent diagnosis system and method based on unmanned aerial vehicle | |
| CN116152202A (en) | Equipment appearance detection system based on image recognition technology and infrared thermal imaging technology | |
| CN112595936A (en) | Power transmission line composite insulator intelligent detection system based on unmanned aerial vehicle patrols and examines | |
| CN214314723U (en) | Intelligent power distribution station monitoring system based on 5G cloud control platform | |
| CN116631087A (en) | Unmanned aerial vehicle-based electric power inspection system | |
| CN116866512A (en) | Photovoltaic power station inspection system and operation method thereof | |
| CN103198326B (en) | A kind of image classification method of transmission line of electricity helicopter routing inspection | |
| CN115187880A (en) | Communication optical cable defect detection method and system based on image recognition and storage medium | |
| Zhang et al. | An automatic diagnostic method of abnormal heat defect in transmission lines based on infrared video | |
| CN111105395B (en) | AI intelligent cradle head for monitoring power transmission operation | |
| CN113657621A (en) | Hidden danger monitoring method and system | |
| CN113808081A (en) | Transmission line small-size gold utensil defect detecting system | |
| CN112132819A (en) | Communication network management monitoring method based on artificial intelligence | |
| CN110930362A (en) | Screw safety detection method, device and system | |
| CN117498225B (en) | Unmanned aerial vehicle intelligent power line inspection system | |
| Hu et al. | Research on Active Prevention and Control Technology for High Risk Targets in Transmission Lines | |
| Jiang et al. | Insulator fault feature extraction system of substation equipment based on machine vision | |
| Zhang et al. | Intelligent Remote Monitoring Method for Power Operation Site Based on Video Recognition Technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |